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SUNNYVALE, Calif. - JUNE 18, 2008 - NetApp
(NASDAQ: NTAP) today announced that Qualcomm, a leading developer
and innovator of advanced wireless technologies and data solutions,
has implemented NetApp® Data ONTAP® GX as the computing
storage platform in the company's chipset design process. NetApp
also announced new product enhancements that extend the
capabilities of Data ONTAP GX.

In industries such as oil and gas, media and entertainment, and
chip design, customers are leveraging Linux®, UNIX®, and
Microsoft® Windows® compute clusters that run technical
applications with demanding storage requirements. These demanding
environments often lead to storage hot spots caused by increased
activity along with escalating costs associated with managing the
storage system. Data ONTAP GX enables customers to avoid these
issues by providing a clustered file system that stripes data
across all available storage resources, achieving the highest
levels of performance. In addition, file system virtualization
enables storage optimization and expansion, even across multiple
tiers, without disruption to users or applications.

Qualcomm is constantly innovating with new chip designs that
enable faster and better video, audio, gaming, and location-based
services for wireless devices. During the electronic design
automation (EDA) process, engineers run compute-intensive chip
simulations. When the compute farm approached maximum utilization,
Qualcomm found data input/output (I/O) to be a bottleneck that was
impacting the pace of engineering development.

"We wanted to bring more projects online and not have data I/O
be the bottleneck," said Jeff Kennedy, IT engineer at Qualcomm. "We
needed a solution that allowed us to bring more compute resources
to bear on a single file system or directory structure. After
testing various available options, we found that NetApp Data ONTAP
GX did a great job of meeting our performance needs and providing
the level of availability and failover required to maintain our
rapid pace of technology development."

With Data ONTAP GX, customers can scale to multiple gigabytes
per second of I/O throughput and multiple petabytes of capacity
while maintaining a single system image. Qualcomm, for example, can
span volumes across all system nodes, deliver maximum I/O, and
remove the bottlenecks that previously hurt production, thanks to
NetApp's innovative volume striping.

"When we add more nodes to our system, Data ONTAP GX provides
near-linear scaling of performance," said Kennedy. "With our
four-node Data ONTAP GX cluster, we now get almost four times the
I/O against a single file system or directory structure than
previously. Also, with Data ONTAP GX in place we can present a
single file system image spanning multiple nodes for engineering
projects, allowing our engineers to run multiple simulations
without noticing a performance impact."

Additionally, Data ONTAP GX has eased past scalability issues in
Qualcomm's compute environment. With the ability to seamlessly grow
file systems and increase performance concurrently, Qualcomm
estimates that it will be able to reduce the time spent in data
administration from 40 hours to 10 hours a week with the Data ONTAP
GX cluster.

"Success stories like Qualcomm are proof that NetApp Data ONTAP
GX enables customers to meet their high-performance computing needs
and dramatically improve time to market," said Patrick Rogers, vice
president of Solutions Marketing at NetApp. "Overall, we are
witnessing strong demand for Data ONTAP GX as our customer base
expands from high-performance simulation environments to Web 2.0
and digital media industries-further validating the success of our
scale-out storage solution."

NetApp Expands Industry-Leading Features of Data ONTAP
GX
New enhancements to Data ONTAP GX, which are available immediately,
provide customers with broader 10 Gigabit Ethernet support,
enabling higher performance and lower latency in both Windows and
Linux environments. In addition, Data ONTAP GX now supports disks
up to one terabyte in size, and more than doubles maximum system
capacity to 14PB, all while reducing power and cooling costs.

The following features strengthen the Data ONTAP GX offering by
enhancing performance, flexibility, security, and scalability:

Support for NetApp FAS3040, FAS3070, FAS6070, and FAS6080
platforms

Support for multinode scaling with a global namespace and
transparent data movement

Scalable performance for a wide range of application workloads
such as SPEC SFS97_R1 V3.0, sequential I/O, random I/O, and
others

Complete set of data protection features, including
RAID-DP™, Snapshot™ and restore, NDMP backup/restore,
and asynchronous mirroring

Support for the Storage Acceleration Appliance, which is based
on NetApp FlexCache™ technology, providing customers with
better performance and protecting their existing investments
without rearchitecting their technical computing environments

NetApp has been the leading innovator of scale-out systems with
the following features and offerings that are delivering business
breakthroughs and enabling customers to achieve greater speed,
value, and efficiency:

First and only storage system to reach one million SPEC SFS ops
in a documented test

Scale-out NAS systems with the ability to scale to 14PB

Support for mixed controller and disk (FC and SATA) types
within one cluster

Transparent, nondisruptive data movement between different disk
types

For more information on NetApp's vision for the future of
enterprise storage and a scale-out architecture, read the white
paper "Scale-Out Storage and the Dynamic Data Center" at http://www.netapp.com/us/library/white-papers/wp-7042.html.
Also, visit NetApp TechTalk online events at www.netapp.com/news/techtalk/podcasts-on-demand.html
for a podcast with Bruce Moxon, vice president of Strategic
Technology at NetApp, titled "How NetApp Data ONTAP GX Simplifies
Capacity and Performance Growth." In the podcast, Bruce discusses
how enterprises can run their most demanding applications using a
scale-out storage architecture that provides nondisruptive upgrades
and transparent data migrations.